Datasets:
Dataset Viewer
corpus
stringclasses 4
values | category
stringclasses 9
values | dataset
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values | task
stringclasses 69
values | prompt
stringclasses 52
values | model
stringclasses 48
values | ckpt_num
int64 1k
47.7k
| score
float64 -0.08
100
|
|---|---|---|---|---|---|---|---|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p0
|
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 22.44
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p1
|
def p1(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"{choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nResposta:"
|
2B
| 1,000
| 23.123
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p2
|
def p2(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"Opción {choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(choices[:-1])} o {choices[-1]}?"
|
2B
| 1,000
| 24.915
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p0
|
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 29.545
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p1
|
def p1(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"{choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nResposta:"
|
2B
| 1,000
| 24.916
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p2
|
def p2(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"Opción {choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(choices[:-1])} o {choices[-1]}?"
|
2B
| 1,000
| 24.705
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p0
|
Context: {{context}}
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 3.71
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p1
|
{{context}}
Pregunta: {{question}}
Respecte al passatge anterior, la resposta correcta a la pregunta és
|
2B
| 1,000
| 2.012
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p2
|
Llegeix el següent passatge i contesta la pregunta.
Passatge: {{context}}
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 3.867
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p0
|
Passatge: {{flores_passage}}
Pregunta: {{question.strip()}}
A. {{mc_answer1}}
B. {{mc_answer2}}
C. {{mc_answer3}}
D. {{mc_answer4}}
Resposta:
|
2B
| 1,000
| 23
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p1
|
Llegeix el passatge i respon a la pregunta: {{flores_passage}}
{{question.strip()}}
Opció A: {{mc_answer1}}
Opció B: {{mc_answer2}}
Opció C: {{mc_answer3}}
Opció D: {{mc_answer4}}
És la resposta correcta A, B, C o D?
|
2B
| 1,000
| 24.222
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p2
|
{{flores_passage}}
En base al passatge anterior, respon a la pregunta: {{question}}
A: {{mc_answer1}}
B: {{mc_answer2}}
C: {{mc_answer3}}
D: {{mc_answer4}}
Quina és la resposta correcta?
|
2B
| 1,000
| 23
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p0
|
{{Sentence}}
Pregunta: Té sentit aquesta frase?
Resposta:
|
2B
| 1,000
| -0.05
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p1
|
Frase: {{Sentence}}
Pregunta: Té sentit aquesta frase?
Resposta:
|
2B
| 1,000
| 0
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p2
|
Determina si la següent frase té sentit: {{Sentence}}
Resposta:
|
2B
| 1,000
| 0
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p0
|
Genera una frase curta amb estes paraules: {{keywords}}. El context és: {{context}}
Resposta:
|
2B
| 1,000
| 0.096
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p1
|
Escriu una frase curta amb aquestes paraules clau: {{keywords}}.
Tingues en compte el següent context: {{context}}.
Resposta:
|
2B
| 1,000
| 0.214
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p2
|
Construeix una oració tenint en compte el següent context: {{context}}.
Utilitza les paraules clau: {{keywords}}.
Resposta:
|
2B
| 1,000
| 0.201
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p0
|
{{premise[:-1].strip() + " " + {"cause": "perquè", "effect": "i per tant"}[question]}}
|
2B
| 1,000
| 57.2
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p1
|
{{premise[:-1].strip() + " " + {"cause": "atès que", "effect": "així que"}[question]}}
|
2B
| 1,000
| 55
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p2
|
{{premise[:-1].strip() + {"cause": " a causa que", "effect": ", i com a resultat,"}[question]}}
|
2B
| 1,000
| 56.4
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p0
|
{{story+"\n\n"}}{% for i in range(questions|length-1) %}{{"Q: "+questions[i]+"\n\n"+"A: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Q: "+questions[-1]+"\n\n"+"A:"}}
|
2B
| 1,000
| 6.175
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p1
|
{{story+"\n\n"}}Respecte al passatge anterior, la resposta correcta a la pregunta és: {% for i in range(questions|length-1) %}{{"Pregunta: "+questions[i]+"\n\n"+"Resposta: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Pregunta: "+questions[-1]+"\n\n"+"Resposta:"}}
|
2B
| 1,000
| 8.557
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p2
|
Llegeix el següent passatge i contesta la pregunta\n\nPassatge: {{story+"\n\n"}}{% for i in range(questions|length-1) %}{{"Pregunta: "+questions[i]+"\n\n"+"Resposta: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Pregunta: "+questions[-1]+"\n\n"+"Resposta:"}}
|
2B
| 1,000
| 8.785
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p0
|
Translate the following sentence into Catalan: {{sentence_eng_Latn}}
Catalan:
|
2B
| 1,000
| 0.039
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p1
|
Translate the sentence from English to Catalan.
Source sentence (English): {{sentence_eng_Latn}}
Target sentence (Catalan):
|
2B
| 1,000
| 0.015
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p2
|
The following sentence is written in English. Translate it into Catalan.
English: {{sentence_eng_Latn}}
Catalan:
|
2B
| 1,000
| 0.041
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p0
|
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 0
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p1
|
Respon amb claredat i precisió a la pregunta següent
{{question}}
Resposta:
|
2B
| 1,000
| 0
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p2
|
Respon a la següent pregunta:
{{question}}
Raona la teva resposta:
|
2B
| 1,000
| 0
|
HPLT 2.0
|
Language-specific & world knowledge
|
openbookqa_ca
|
openbookqa_ca_p0
|
question_stem
|
2B
| 1,000
| 26.6
|
HPLT 2.0
|
Language-specific & world knowledge
|
openbookqa_ca
|
openbookqa_ca_p1
|
{{question_stem}}
A. {{choices['text'][0]}}
B. {{choices['text'][1]}}
C. {{choices['text'][2]}}
D. {{choices['text'][3]}}
Resposta:
|
2B
| 1,000
| 27
|
HPLT 2.0
|
Language-specific & world knowledge
|
openbookqa_ca
|
openbookqa_ca_p2
|
{{question_stem}}
Opció A: {{choices['text'][0]}}
Opció B: {{choices['text'][1]}} C: {{choices['text'][2]}}
Opció D: {{choices['text'][3]}}
És la resposta correcta A, B, C o D?
|
2B
| 1,000
| 25.2
|
HPLT 2.0
|
Paraphrase detection
|
parafraseja
|
parafraseja_p0
| null |
2B
| 1,000
| 50.7
|
HPLT 2.0
|
Paraphrase detection
|
parafraseja
|
parafraseja_p1
|
Determina si les dues oracions següents expressen la mateixa idea o no.
Oració 1: {{sentence1}}
Oració 2: {{sentence2}}
Resposta:
|
2B
| 1,000
| 49.6
|
HPLT 2.0
|
Paraphrase detection
|
parafraseja
|
parafraseja_p2
|
Oració 1: {{sentence1}}
Oració 2: {{sentence2}}
Pregunta: Les oracions 1 i 2 expressen el mateix significat? Sí o no?
Resposta:
|
2B
| 1,000
| 49.6
|
HPLT 2.0
|
Paraphrase detection
|
paws_ca
|
paws_ca_p0
| null |
2B
| 1,000
| 49.35
|
HPLT 2.0
|
Paraphrase detection
|
paws_ca
|
paws_ca_p1
|
Determina si les dues oracions següents expressen la mateixa idea o no.
Oració 1: {{sentence1}}
Oració 2: {{sentence2}}
Resposta:
|
2B
| 1,000
| 54.65
|
HPLT 2.0
|
Paraphrase detection
|
paws_ca
|
paws_ca_p2
|
Oració 1: {{sentence1}}
Oració 2: {{sentence2}}
Pregunta: Les oracions 1 i 2 expressen el mateix significat? Sí o no?
Resposta:
|
2B
| 1,000
| 54.7
|
HPLT 2.0
|
Commonsense reasoning
|
piqa_ca
|
piqa_ca_p0
|
Pregunta: {{goal}}
Resposta:
|
2B
| 1,000
| 53.428
|
HPLT 2.0
|
Commonsense reasoning
|
piqa_ca
|
piqa_ca_p1
|
{{goal}}
A. {{sol1}}
B. {{sol2}}
Resposta:
|
2B
| 1,000
| 49.51
|
HPLT 2.0
|
Commonsense reasoning
|
piqa_ca
|
piqa_ca_p2
|
{{goal}}
A. {{sol1}}
B. {{sol2}}
Quina és la resposta correcta?
|
2B
| 1,000
| 49.51
|
HPLT 2.0
|
Commonsense reasoning
|
siqa_ca
|
siqa_ca_p0
|
Pregunta: {{context}} {{question}}
Resposta:
|
2B
| 1,000
| 32.549
|
HPLT 2.0
|
Commonsense reasoning
|
siqa_ca
|
siqa_ca_p1
|
Passatge: {{context}}
Pregunta: {{question}}
A. {{answerA}}
B. {{answerB}}
C. {{answerC}}
Resposta:
|
2B
| 1,000
| 32.958
|
HPLT 2.0
|
Commonsense reasoning
|
siqa_ca
|
siqa_ca_p2
|
Llegeix el passatge i respon a la pregunta: {{context}}
{{question}}
Opció A: {{answerA}}
Opció B: {{answerB}}
Opció C: {{answerC}}
És la resposta correcta A, B o C?
|
2B
| 1,000
| 33.112
|
HPLT 2.0
|
Entailment
|
teca
|
teca_p0
| null |
2B
| 1,000
| 34.341
|
HPLT 2.0
|
Entailment
|
teca
|
teca_p1
|
Premissa: {{premise}}
Hipòtesi: {{hypothesis}}
Indica la relació entre la premissa i la hipòtesi:
|
2B
| 1,000
| 33.491
|
HPLT 2.0
|
Entailment
|
teca
|
teca_p2
|
Premissa: {{premise}}
Hipòtesi: {{hypothesis}}
Quina és la relació entre la premissa i la hipòtesi?
A. En acord
B. Neutres entre si
C. En contradicció
Resposta:
|
2B
| 1,000
| 33.302
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_gen
|
veritasqa_ca_gen_p0
|
Respon a la següent pregunta:
{{question}}
Resposta:
|
2B
| 1,000
| 1.062
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_gen
|
veritasqa_ca_gen_p1
|
Respon amb claredat i precisió a la pregunta següent:
{{question}}
Resposta:
|
2B
| 1,000
| 0.525
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_gen
|
veritasqa_ca_gen_p2
|
Proporciona una resposta detallada per a la pregunta següent:
{{question}}
Resposta:
|
2B
| 1,000
| 0.836
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc1
|
veritasqa_ca_mc1_p0
|
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 30.028
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc1
|
veritasqa_ca_mc1_p1
|
def mc1_p1(doc):
choices = doc["mc1_targets"]["choices"]
formatted_choices = "\n".join(
[f"Opción {LETTERS[i]}: {choice}" for i, choice in enumerate(choices)]
)
letters = LETTERS[: len(choices)]
return f"Pregunta: {doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(letters[:-1])} o {letters[-1]}?\nResposta:"
|
2B
| 1,000
| 85.269
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc1
|
veritasqa_ca_mc1_p2
|
def mc1_p2(doc):
choices = doc["mc1_targets"]["choices"]
formatted_choices = "".join(list(map(lambda choice: f"\n- {choice}", choices)))
return f"Pregunta: {doc['question']}\nTria la resposta correcta de la llista:\n{formatted_choices}\nQuina és la resposta correcta?\nResposta:"
|
2B
| 1,000
| 27.762
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc2
|
veritasqa_ca_mc2_p0
|
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 56.35
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc2
|
veritasqa_ca_mc2_p1
|
def mc2_p1(doc):
choices = doc["mc2_targets"]["choices"]
formatted_choices = "\n".join(
[f"Opción {LETTERS[i]}: {choice}" for i, choice in enumerate(choices)]
)
letters = LETTERS[: len(choices)]
return f"Pregunta: {doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(letters[:-1])} o {letters[-1]}?\nResposta:"
|
2B
| 1,000
| 89.699
|
HPLT 2.0
|
Truthfulness
|
veritasqa_ca_mc2
|
veritasqa_ca_mc2_p2
|
def mc2_p2(doc):
choices = doc["mc2_targets"]["choices"]
formatted_choices = "".join(list(map(lambda choice: f"\n- {choice}", choices)))
return f"Pregunta: {doc['question']}\nTria la resposta correcta de la llista:\n{formatted_choices}\nQuina és la resposta correcta?\nResposta:"
|
2B
| 1,000
| 54.28
|
HPLT 2.0
|
Entailment
|
wnli_ca
|
wnli_ca_p0
|
{{sentence1}}
Pregunta: {{sentence2}} Cert o Fals?
Resposta:
|
2B
| 1,000
| 43.662
|
HPLT 2.0
|
Entailment
|
wnli_ca
|
wnli_ca_p1
|
Llegeix el text i contesta si l'afirmació és veritable o falsa.
Texto: {{sentence1}}
Afirmación: {{sentence2}}
Resposta:
|
2B
| 1,000
| 40.845
|
HPLT 2.0
|
Entailment
|
wnli_ca
|
wnli_ca_p2
|
{{sentence1}}
Pregunta: {{sentence2}}.
Resposta:
|
2B
| 1,000
| 40.845
|
HPLT 2.0
|
Entailment
|
xnli_ca
|
xnli_ca_p0
| null |
2B
| 1,000
| 36.426
|
HPLT 2.0
|
Entailment
|
xnli_ca
|
xnli_ca_p1
|
Premissa: {{premise}}
Hipòtesi: {{hypothesis}}
Indica la relació entre la premissa i la hipòtesi:
|
2B
| 1,000
| 33.454
|
HPLT 2.0
|
Entailment
|
xnli_ca
|
xnli_ca_p2
|
Premissa: {{premise}}
Hipòtesi: {{hypothesis}}
Quina és la relació entre la premissa i la hipòtesi?
A. En acord
B. Neutres entre si
C. En contradicció
Resposta:
|
2B
| 1,000
| 33.333
|
HPLT 2.0
|
Reading comprehension
|
xquad_ca
|
xquad_ca_p0
|
Context: {{context}}
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 2.891
|
HPLT 2.0
|
Reading comprehension
|
xquad_ca
|
xquad_ca_p1
|
{{context}}
Pregunta: {{question}}
Respecte al passatge anterior, la resposta correcta a la pregunta és
|
2B
| 1,000
| 1.743
|
HPLT 2.0
|
Reading comprehension
|
xquad_ca
|
xquad_ca_p2
|
Llegeix el següent passatge i contesta la pregunta.
Passatge: {{context}}
Pregunta: {{question}}
Resposta:
|
2B
| 1,000
| 2.796
|
HPLT 2.0
|
Commonsense reasoning
|
xstorycloze_ca
|
xstorycloze_ca_p0
|
{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}
|
2B
| 1,000
| 51.886
|
HPLT 2.0
|
Commonsense reasoning
|
xstorycloze_ca
|
xstorycloze_ca_p1
|
Llegeix la següent història: {{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4]|join(' ')}}
Tria la continuació correcta:
- {{sentence_quiz1}}
- {{sentence_quiz2}}
|
2B
| 1,000
| 50.827
|
HPLT 2.0
|
Commonsense reasoning
|
xstorycloze_ca
|
xstorycloze_ca_p2
|
{{[input_sentence_1, input_sentence_2, input_sentence_3, input_sentence_4] | join(' ') }}
Què ocorre després?
A. {{ sentence_quiz1}}
B. {{sentence_quiz2}}
Resposta:
|
2B
| 1,000
| 52.813
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p0
|
Pregunta: {{question}}
Resposta:
|
4B
| 2,000
| 22.952
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p1
|
def p1(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"{choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nResposta:"
|
4B
| 2,000
| 23.635
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_challenge
|
arc_ca_challenge_p2
|
def p2(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"Opción {choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(choices[:-1])} o {choices[-1]}?"
|
4B
| 2,000
| 27.73
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p0
|
Pregunta: {{question}}
Resposta:
|
4B
| 2,000
| 32.365
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p1
|
def p1(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"{choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nResposta:"
|
4B
| 2,000
| 24.916
|
HPLT 2.0
|
Language-specific & world knowledge
|
arc_ca_easy
|
arc_ca_easy_p2
|
def p2(doc):
candidates, choices = doc["choices"]["text"], doc["choices"]["label"]
formatted_choices = "\n".join(
[f"Opción {choices[i]}: {candidates[i]}" for i, _ in enumerate(candidates)]
)
return f"{doc['question']}\n{formatted_choices}\nÉs la resposta correcta {', '.join(choices[:-1])} o {choices[-1]}?"
|
4B
| 2,000
| 26.01
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p0
|
Context: {{context}}
Pregunta: {{question}}
Resposta:
|
4B
| 2,000
| 5.058
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p1
|
{{context}}
Pregunta: {{question}}
Respecte al passatge anterior, la resposta correcta a la pregunta és
|
4B
| 2,000
| 3.999
|
HPLT 2.0
|
Language-specific & world knowledge
|
catalanqa
|
catalanqa_p2
|
Llegeix el següent passatge i contesta la pregunta.
Passatge: {{context}}
Pregunta: {{question}}
Resposta:
|
4B
| 2,000
| 4.907
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p0
|
Passatge: {{flores_passage}}
Pregunta: {{question.strip()}}
A. {{mc_answer1}}
B. {{mc_answer2}}
C. {{mc_answer3}}
D. {{mc_answer4}}
Resposta:
|
4B
| 2,000
| 22.667
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p1
|
Llegeix el passatge i respon a la pregunta: {{flores_passage}}
{{question.strip()}}
Opció A: {{mc_answer1}}
Opció B: {{mc_answer2}}
Opció C: {{mc_answer3}}
Opció D: {{mc_answer4}}
És la resposta correcta A, B, C o D?
|
4B
| 2,000
| 28.778
|
HPLT 2.0
|
Reading comprehension
|
catbelebele
|
catbelebele_p2
|
{{flores_passage}}
En base al passatge anterior, respon a la pregunta: {{question}}
A: {{mc_answer1}}
B: {{mc_answer2}}
C: {{mc_answer3}}
D: {{mc_answer4}}
Quina és la resposta correcta?
|
4B
| 2,000
| 21.889
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p0
|
{{Sentence}}
Pregunta: Té sentit aquesta frase?
Resposta:
|
4B
| 2,000
| 0.048
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p1
|
Frase: {{Sentence}}
Pregunta: Té sentit aquesta frase?
Resposta:
|
4B
| 2,000
| 0.016
|
HPLT 2.0
|
Language knowledge
|
catcola
|
catcola_p2
|
Determina si la següent frase té sentit: {{Sentence}}
Resposta:
|
4B
| 2,000
| 0
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p0
|
Genera una frase curta amb estes paraules: {{keywords}}. El context és: {{context}}
Resposta:
|
4B
| 2,000
| 1.035
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p1
|
Escriu una frase curta amb aquestes paraules clau: {{keywords}}.
Tingues en compte el següent context: {{context}}.
Resposta:
|
4B
| 2,000
| 1.268
|
HPLT 2.0
|
Commonsense reasoning
|
cocoteros_va
|
cocoteros_va_p2
|
Construeix una oració tenint en compte el següent context: {{context}}.
Utilitza les paraules clau: {{keywords}}.
Resposta:
|
4B
| 2,000
| 0.58
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p0
|
{{premise[:-1].strip() + " " + {"cause": "perquè", "effect": "i per tant"}[question]}}
|
4B
| 2,000
| 58
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p1
|
{{premise[:-1].strip() + " " + {"cause": "atès que", "effect": "així que"}[question]}}
|
4B
| 2,000
| 56.2
|
HPLT 2.0
|
Commonsense reasoning
|
copa_ca
|
copa_ca_p2
|
{{premise[:-1].strip() + {"cause": " a causa que", "effect": ", i com a resultat,"}[question]}}
|
4B
| 2,000
| 55.6
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p0
|
{{story+"\n\n"}}{% for i in range(questions|length-1) %}{{"Q: "+questions[i]+"\n\n"+"A: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Q: "+questions[-1]+"\n\n"+"A:"}}
|
4B
| 2,000
| 13.57
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p1
|
{{story+"\n\n"}}Respecte al passatge anterior, la resposta correcta a la pregunta és: {% for i in range(questions|length-1) %}{{"Pregunta: "+questions[i]+"\n\n"+"Resposta: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Pregunta: "+questions[-1]+"\n\n"+"Resposta:"}}
|
4B
| 2,000
| 13.195
|
HPLT 2.0
|
Reading comprehension
|
coqcat
|
coqcat_p2
|
Llegeix el següent passatge i contesta la pregunta\n\nPassatge: {{story+"\n\n"}}{% for i in range(questions|length-1) %}{{"Pregunta: "+questions[i]+"\n\n"+"Resposta: "+answers["input_text"][i]+"\n\n"}}{% endfor %}{{"Pregunta: "+questions[-1]+"\n\n"+"Resposta:"}}
|
4B
| 2,000
| 13.212
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p0
|
Translate the following sentence into Catalan: {{sentence_eng_Latn}}
Catalan:
|
4B
| 2,000
| 0.018
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p1
|
Translate the sentence from English to Catalan.
Source sentence (English): {{sentence_eng_Latn}}
Target sentence (Catalan):
|
4B
| 2,000
| 0.14
|
HPLT 2.0
|
Machine translation
|
flores_en-ca
|
flores_en-ca_p2
|
The following sentence is written in English. Translate it into Catalan.
English: {{sentence_eng_Latn}}
Catalan:
|
4B
| 2,000
| 0.008
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p0
|
Pregunta: {{question}}
Resposta:
|
4B
| 2,000
| 0
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p1
|
Respon amb claredat i precisió a la pregunta següent
{{question}}
Resposta:
|
4B
| 2,000
| 0
|
HPLT 2.0
|
Mathematical reasoning
|
mgsm_direct_ca
|
mgsm_direct_ca_p2
|
Respon a la següent pregunta:
{{question}}
Raona la teva resposta:
|
4B
| 2,000
| 0
|
HPLT 2.0
|
Language-specific & world knowledge
|
openbookqa_ca
|
openbookqa_ca_p0
|
question_stem
|
4B
| 2,000
| 26.4
|
End of preview. Expand
in Data Studio
HPLT 3.0: Details on Corpus Comparison Results
Dataset Description
This dataset contains fine-grained results from our HPLT 3.0 release evaluations comparing the new HPLT 3.0 corpora with the previous HPLT 2.0 version, FineWeb2, and MADLAD-400. We pretrain 2.2B Llama-style decoder models on 100B tokens for each selected language and evaluate them using HPLT-E, a multilingual evaluation framework for comprehensive multi-prompt k-shot evaluation across 124 tasks and 500+ prompts in nine typologically diverse languages: Spanish (spa_Latn), French (fra_Latn), Czech (ces_Latn), Ukrainian (ukr_Cyrl), Finnish (fin_Latn), Catalan (cat_Latn), Galician (glg_Latn), Basque (eus_Latn), and Norwegian (Bokmål and Nynorsk; nor_Latn).
- Curated by: High Performance Language Technologies (HPLT)
- Languages: Spanish, French, Czech, Ukrainian, Finnish, Catalan, Galician, Basque, Norwegian Bokmål, and Norwegian Nynorsk
- Paper: arxiv.org/abs/2511.01066
- Repository: github.com/hplt-project/hplt-e
- License: Apache 2.0
Please find more details in our paper and GitHub repository.
Uses
This dataset is intended for reproducibility and research purposes. Find an example on how to access the results:
from datasets import load_dataset
dataset = load_dataset("HPLT/2508-datasets-evals", "spa_Latn", split="results").to_pandas()
Dataset Structure
Dataset Instances
Each dataset instance looks as follows:
{
'corpus': 'MADLAD-400 1.0',
'category': 'Language-specific & world knowledge',
'dataset': 'global_mmlu_spanish',
'task': 'global_mmlu_spanish_p0',
'prompt': '{{question.strip()}}\nA. {{option_a}}\nB. {{option_b}}\nC. {{option_c}}\nD. {{option_d}}\nRespuesta:',
'model': '69B',
'ckpt_num': 33000,
'score': 22.974
}
Dataset Fields
corpus: corpus name (HPLT 2.0,MADLAD-400 1.0,FineWeb2.1.0,HPLT 3.0)category: task categorydataset: evaluation dataset nametask: evaluation task (refers to a specific prompt)prompt: prompt used for evaluationmodel: number of pretraining tokens (B)ckpt_num: number identifier formodelscore: standard metric performance score
Cite Us
@article{oepen2025hplt,
title={HPLT\~{} 3.0: Very Large-Scale Multilingual Resources for LLM and MT. Mono-and Bi-lingual Data, Multilingual Evaluation, and Pre-Trained Models},
author={Oepen, Stephan and Arefev, Nikolay and Aulamo, Mikko and Ba{\~n}{\'o}n, Marta and Buljan, Maja and Burchell, Laurie and Charpentier, Lucas and Chen, Pinzhen and Fedorova, Mariya and de Gibert, Ona and others},
journal={arXiv preprint arXiv:2511.01066},
year={2025}
}
Contact Us
- Vladislav Mikhailov [email protected]
- Stephan Oepen [email protected]
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